xerxes73 said:
Thanks for the patient explanations. I can't say I have intuitively grasped this yet but I am not finished playing with these new ideas provided by you all on basis, eigenfunctions, and vectors in the s plane.
i wouldn't call them "vectors" on the
s-plane. they're complex numbers. but it is true that both complex numbers (what we denote with a script
C) and what we call "
R2 space" (the space of 2-dimensional vectors) are both ordered pairs of real numbers. and, even though
R2 vectors and complex numbers both add in the same way, they don't multiply the same.
R2 vectors have dot-product (which results in a real number). i don't even know if cross-product is really meaningful for
R2 vectors since they would alway point perpendicularly "out of the page". since the direction is not variable, cross product of
R2 vectors could also be thought of as a single real number. complex numbers multiply in a manner that defaults to how real numbers multiply, and the result is simply another complex number in the same
C space.
there's even division with complex numbers, but i don't know of what division with
R2 vectors would conceptually be.
anyway, the wikipedia article on basis functions doesn't look so good. do you want the 5 minute spiel on that? then, after that, we could talk about eigenfunctions of LTI systems. it really is an important mathematical gift to signal processing engineers that exponential functions have the properties that they make for an elegant family of basis functions for either periodic functions or finite-energy aperiodic functions.
and exponentials are eigenfunctions of LTI operators. that is because:
1. when you add two exponentials with the same complex rate scaler
s in the exponent, you get a third exponential with the same
s.
2. when you multiply an exponential by a constant, it's another exponential (with the same
s).
3. when you delay and exponential, it's another exponential function (with the same
s).
4. when you differentiate an exponential function, it's another exponential (with the same
s).
and LTI systems are sort of the combination of the above 4 operations. so if
est goes into an LTI system, something that looks just like
est comes out (but possibly bigger or smaller or negated). that is fundamental for understanding Linear Time-Invariant systems and how Fourier and/or Laplace Transforms describe or treat LTI systems.